If you don't have one, please create an account

For Google Calendar, Google Ddocs, etc

Format: 123-456-7890 for US; XXX-123-456-7890 for other country codes (no + please)
If you don't have WhatsApp, please create an account

LinkedIn, School, Personal, Porfolio

HS11, HS12, U1, U2, G1, G2, PhD+12, etc

Please be super specific. e.g. "Brian Kadener (my cousin) forwarded me your LinkedIn post"; "MIT UROP Office ELx Posting"; "Met Prof. Kellis at MIT HealthTech Group on Dec 12, 2024 and he emailed me"; "Emailed Prof. Kellis about a position on XXX and he recommended this form". 

What are your top accomplishments, in terms of coding projects, programming/science/math competitions, entrepreneurships, teamwork, leadership, engineering, building apps/games/websites, etc. Please upload posters/papers/PDFs from your top project(s) including images, screenshots, findings, etc (please be content-heavy, not just slides with titles of the projects, but the detailed findings that you would present as your final report to your supervisor): http://tinyurl.com/FilesForManolis You can include links to websites in your answers. If these are linked from your website, or from your CV, no need to duplicate. You can also just re-use your final reports/posters, no need to re-create or change the format, just drop in anything with heavy technical content at the link. Thank you!

Group the following technologies into three areas of proficiency, comma-separated lists: 
Top: Extensive experience using them in projects
Medium: Used one or two times, can look up the rest to be productive
Bottom: Haven't used, would still need to wrap my head around them. 
None: I don't think I'll be using that in my contributions to the project [or you can not list those]
The technologies are: Python, React, Django, REST, Pandas, GitHub, Data Scraping, Agents, Agentic MCP servers, AI Libraries, DevOps, Celery, AWS, SDK, APIs, LangChain, Selenium, NumPy, Asynchronous Programming, HuggingFace, Transformers, BERT, Scikit-learn, FAISS, JSON, Threading, Multiprocessing, Pydantic, Full-Stack Development, Embeddings, UMAP, tSNE, Linear Algebra, Algorithms, Haystack, Neo4j, NetworkX, Flask, Airflow, Ray RLlib, GPT, Cursor, Copilot, WebSockets
Feel free to list additional relevant technologies and tools that you want to bring in. 

What application areas (verticals) would you like to apply Mantis to, in addition to your contributions to the platform (horizontal). What vertical-specific tools/capabilities would you like to develop? 

What would you like to work on for the platform (horizontal)? Front-end, back-end, agents, compute sandbox, plotting, floors, networks, knowledge extraction, keywords, search, mapping, optimization, parallelization, reasoning, embeddings, evaluation. BTW: "None" is a fine answer if you want to instead contribute to applications

If Mantis was already fully-featured and complete (which it kinda is), application areas (verticals) would you like to apply it to, and what would you like to analyze in these areas?
[Example verticals: drug development; protein function; media; investments; patents; education; finance; etc...]
[Example uses: Co-embed drugs based on structure+indications to discover xxx; co-embed language and structure to find yyy; etc...]

1. Navigator: This involves navigating Mantis spaces, gaining insights, reporting bugs, becoming super-users of the system, suggesting improvements and new features. 
2. Cartographer: This involves finding awesome datasets online, creating new spaces from CSV spreadsheets, literature searches, PDF documents, and demonstrating their usefulness. 
3. Data Scrapping: This involves creating new datasets for cartography, by scraping data, websites, Wikipedia, YouTube, Twitter, News, etc. Some programming and data science background is helpful, including using Selenium, BeautifulSoup, Scrapy, Octoparse, and other tools. 
4. Data Cleanup: This involves cleaning up scraped datasets for Mantis ingestion, which might need coding, macros, logical thinking, and semi-automated semi-manual cleanup, to make sure datasets are meaningful, helpful, and ready for cartography. 
5. Platform (Horizontal) Full-Stack Engineer: This involves the most coding and full-stack software development across front-/back-end, GitHub, integration, and is typically reserved to those with the most software engineering experience. 
6. Application (Vertical) Developer: This involves domain-specific coding, deep understanding of specific application areas, creating domain-specific multi-modal embeddings, solving domain-specific ML problems, and leading applications of Mantis to specific verticals
7. Self-Contained Coding/ML Tasks: This involves Mantis-inspired coding of specific ML capabilities related to Mantis, which can then be integrated and plugged in, by working closely with platform developers. 

Example Format: (hit "Alt-Enter" for carriage return, adjust dates/times, add additional periods, etc)

After an initial trial period, if everything goes well, what would be your ideal role in Mantis? [e.g. full-time software engineer, graduate student in Kellis Lab, undergrad at MIT, freelance collaborator, lead for one of the verticals, etc] 

Please upload your CV here: http://tinyurl.com/FilesForManolis (even if you already emailed it)

Please add any additional info, comments, questions, etc